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DebugBear

ANALYTICS
Velocity3.8

Website speed and Core Web Vitals monitoring platform

DebugBear is growing out of performance testing into availability, agents, and dashboards you build yourself.

web-performanceuptime-monitoringmcprumcustom-dashboards
Current state
Six monthly digests show a tool widening on three fronts. Availability arrived in August with uptime monitoring, alongside Server Timing support across both lab tests and real-user monitoring and URL-based conversion triggers. Analysis tooling deepened with a bottleneck finder, HAR waterfall exports, individual chart exports, histogram and scatter charts, and custom dashboards as a first-class feature in April. And the product started addressing AI clients directly: a DebugBear MCP server for Claude, ChatGPT, and Cursor in June, preceded by a Lighthouse category for agentic browsing and prepared AI agent prompts in May.
Where it's heading
Two expansions are running at once. The first is scope — a synthetic and RUM performance tool adding uptime monitoring competes for the budget line that currently goes to a separate availability vendor, and conversion triggers push the same data toward business rather than engineering reporting. The second is who consumes the data: an MCP server means an agent pulls DebugBear results into an investigation without a human opening the dashboard, while the agentic browsing audit measures whether a site works for those agents at all. Custom dashboards sit underneath both, letting teams assemble their own views instead of accepting the built-in ones.
Prediction
Expect uptime monitoring to acquire the alerting and status-reporting depth that makes it replace an incumbent rather than supplement one, since a monitor without mature alerting is only half the purchase. The digests are short enough that how the MCP server is being used is not yet visible.

Recent moves

  1. 8d ago

    Uptime monitoring and Server Timing support arrive

    ⚡ SPARK

    Uptime monitoring lands alongside Server Timing support for lab tests and RUM and URL-based conversion triggers. Availability is a different question from performance, and taking it on moves DebugBear into a category it previously sat beside.

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  2. 1mo ago

    Bottleneck finder tool and better data export

    A bottleneck finder tool, per-chart exports for custom dashboards, improved comparison data, bulk region editing, and HAR waterfall exports. Analysis and export depth on top of the dashboard work from April rather than new measurement.

    View source ↗
  3. 2mo ago

    DebugBear ships an MCP server for Claude, ChatGPT, and Cursor

    ⚡ SPARK

    A DebugBear MCP server ships for Claude, ChatGPT, and Cursor, alongside histogram and scatter charts for custom dashboards. It makes performance data something an assistant retrieves during an investigation rather than something an engineer goes looking for.

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  4. 3mo ago

    Agentic browsing audits and quick performance tests

    A Lighthouse category for agentic browsing, quick one-off tests, prepared AI agent prompts, custom DNS mappings, and dashboard filters. The agentic browsing audit is the interesting item — it measures a site against a non-human visitor — but it arrives as another Lighthouse category rather than a new measurement system.

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  5. 4mo ago

    Custom performance dashboards go live

    Custom dashboards become generally available, with Lighthouse and Chrome version upgrades and a new CLS tool. The foundation that the next three months of chart, export, and filter work builds on.

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  6. 5mo ago

    Aggregate audits dashboard and code coverage in the waterfall

    An aggregate audits tab, categorized free tools, and Lighthouse code coverage in the request waterfall. Consolidation of results that were already being collected.

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